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. 2018 Dec 20;20(12):e11093.
doi: 10.2196/11093.

Digital Weight Loss Intervention for Parents of Children Being Treated for Obesity: A Prospective Cohort Feasibility Trial

Melissa C Kay  1 , Jasmine Burroughs  2 , Sandy Askew  2 , Gary G Bennett  3 , Sarah Armstrong  4 , Dori M Steinberg  5
Affiliations

Digital Weight Loss Intervention for Parents of Children Being Treated for Obesity: A Prospective Cohort Feasibility Trial

Melissa C Kay et al. J Med Internet Res. .

Abstract

Background: The prevalence of childhood obesity continues to increase, and clinic-based treatment options have failed to demonstrate effectiveness. One of the strongest predictors of child weight is parent weight. Parental treatment for weight loss may indirectly reduce obesity in the child. We have previously demonstrated the effectiveness among adults of a fully automated, evidence-based digital weight loss intervention (Track). However, it is unknown if it is feasible to deliver such a treatment directly to parents with obesity who bring their child with obesity to a weight management clinic for treatment.

Objective: The objective of our study was to evaluate the feasibility of and engagement with a digital weight loss intervention among parents of children receiving treatment for obesity.

Methods: We conducted a 6-month pre-post feasibility trial among parents or guardians and their children aged 4-16 years presenting for tertiary care obesity treatment. Along with the standard family-based treatment protocol, parents received a 6-month digital weight loss intervention, which included weekly monitoring of personalized behavior change goals via mobile technologies. We examined levels of engagement by tracking completed weeks of self-monitoring and feasibility by assessing change in weight.

Results: Participants (N=48) were on average 39 years old, mostly female (35/42, 82% ), non-Hispanic Black individuals (21/41, 51%) with obesity (36/48, 75%). Over a quarter had a yearly household income of <US $25,000, and about a third had the equivalent of a high school education. Children were on average 10 years old and had a body mass index of 29.8 kg/m2. The median percentage of weeks participants tracked their behaviors was 77% (18.5/24 total weeks; interquartile range [IQR] 6.3 to 100). The median number of attempts via phone or text message (short message service) required to complete one tracking week was 3.3 (IQR 2.6 to 4.9). Nearly half (23/48, 48%) had high levels of engagement, completing 80% (19/24) or more weeks of tracking. Of the 26 participants with weight measurements reported at 6 months, of which 81% (21/26) were self-reported, there was a median 2.44 kg (IQR -6.5 to 1.0) decrease in weight.

Conclusions: It is feasible to deliver an evidence-based digital weight loss intervention to parents or guardians whose children are enrolled in a weight management program. Given the feasibility of this approach, future studies should investigate the effectiveness of digital weight loss interventions for parents on child weight and health outcomes.

Keywords: child; digital weight loss intervention; obesity; parent; self-monitoring; text; weight.

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Conflict of interest statement

Conflicts of Interest: GGB is on the Nutrisystem advisory board and has equity in Coeus Health, LLC.

Figures

Figure 1
Figure 1
Example of a self-monitoring SMS text message sent weekly to participants in Families on Track (Interactive Obesity Treatment Approach [iOTA], Duke Global Digital Health Science Center).
Figure 2
Figure 2
Proportion of participants with a complete tracking week as measured by a completed IVR call or SMS text message, by study week (N=48). IVR: interactive voice response; SMS: short message service.
Figure 3
Figure 3
Proportion of participants with a complete tracking week as measured by a completed IVR call or SMS text messages, by study week and income level (N=38).
Figure 4
Figure 4
Proportion of participants with a complete tracking week as measured by a completed IVR call or SMS text message by study week and education level (N=37).
Figure 5
Figure 5
Change in weight among participants with complete pre and post weight data participating in a digital behavioral weight loss intervention (N=26).
See this image and copyright information in PMC

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